Ketter Kiprotich Lewis is a Tutorial Fellow in the Department of Mathematics and Statistics and a PhD candidate in Applied Statistics at Masinde Muliro University of Science and Technology (MMUST). He holds a Master's degree in Applied Statistics and has experience in university teaching, statistical research, survey coordination, and data analysis.
His research focuses on time series analysis, functional data analysis, high-dimensional statistics, statistical machine learning, forecasting, and predictive modeling. His current doctoral research explores hybrid statistical and machine learning frameworks for the estimation and forecasting of complex high-frequency and high-dimensional time series.
Lewis is proficient in statistical software including R, SPSS, Stata, and Microsoft Excel, and is experienced in LaTeX for scientific writing. His professional interests include research methodology, statistical modeling, data-driven decision-making, and capacity building through teaching, mentorship, and collaborative research.